We train our question generation system on the QABriefs dataset, which contains 7,535 claims with 21,168 questions. We change the splits used by [1]} to ensure that all the claims in the test set contain metadata. Our training set contains 5,228 claims associated with 14,371 questions, the validation set has 653 claims associated with 1,958 questions, and the test set is composed of 653 claims associated with 1,952 questions. We also reserve a further holdout split of 999 claims for training the re-ranker.
In our experiments, we use the SpaCy dependency parser [2]} to parse the claims and extract the focal points.
